Learn how to create stunning interactive visualizations in Python using the Dash framework and the Gapminder dataset! In this beginner-friendly tutorial, I’ll guide you step-by-step to build a dynamic dashboard featuring dropdowns, sliders, and interactive charts.
This is a great project for beginner Python learners.
Explore how to filter data by continent, adjust population thresholds, and visualize life expectancy vs. GDP with an engaging scatter plot. Perfect for Python enthusiasts and data visualization learners!
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*How to download Jupyter Notebook to use Python:*
https://youtu.be/ImhtTEfQafo?si=reZTXgtS1s_KXF9u
*How to upload a CSV file to Jupyter Notebook:*
https://youtu.be/tZjGn7NsiVg?si=yjzX54peUXL0X9z-
⏳ Timestamps ⏳
00:00 Intro
00:47 What is the Dash Library? Explained
01:15 A list of 5 things you will learn.
02:10 Jumping into Jupyter Notebook to create a new workbook & rename the new workbook.
03:08 Create a title for each step in larger text (1 to 7).
05:18 Step 1: Install required libraries (packages for Python).
06:00 Step 2: Import libraries
07:35 Step 3: Load the dataset from a URL for the Gapminder dataset.
11:20 Viewing the dataset in Python
11:55 Step 4: Create a Dash App.
13:25 Step 5: Build the Dashboard layout
19:45 Step 6: Add interactivity.
24:29 Step 7: Run the app.
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